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Table 1 Sample descriptive statistics

From: Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

  SZ (n=40) HC (n=12)   
Variable Mean (SD) Mean (SD) T-score (df=50) p-valueb
Age 46.10 12.41 43.33 13.22 0.67 0.510
Age of Onset 20.84 6.70 - -   
Hospitalizations (#) 13.77 25.08 - -   
PANSS total 56.87 13.22 - -   
   Positive 16.20 5.80 - -   
   Negative 13.07 4.78 - -   
   General 27.60 7.18 - -   
Antipsychotic CPZ Eq 578.81 404.73 - -   
 Antipsychotic Any 37 of 40 - - -   
 Traditional only 9 of 37 - - -   
 Atypical only 25 of 37 - - -   
SWMT total 63.33 11.02 75.58 7.62 3.59 0.001
WTAR FSIQ 91.45 13.98 100.73 15.82 1.90 0.064
CPT-IPa 38.03 11.61 42.75 11.66 1.24 0.220
MCCB WM Compositea 37.18 10.80 46.67 8.99 2.77 0.008
  %   %   c2 (df=1) p-valueb
Gender (Male) 57.50 - 50.00 - 0.21 0.646
Race (Caucasian) 35.00 - 58.00 - 1.23 0.267
Handedness (Right) 85.00 - 100.00 - 2.04 0.362
  1. PANSS: Positive and Negative Syndrome Scale, CPZ Eq: chlorpromazine equivalent, SWMT: Sternberg Working Memory Task, WTAR: Wechsler Test of Adult Reading, CPT-IP: Continuous Performance Test-Identical Pairs, MCCB: MATRICS Cognitive Composite Battery
  2. a Age, education, and gender corrected t-scores reported according to MCCB normative sample
  3. b Statistic reported based on two-tailed test
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